CN117442211B - Multi-lead electrocardiogram synchronous acquisition method, terminal equipment and storage medium - Google Patents
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Abstract
The invention relates to a multi-lead electrocardiogram synchronous acquisition method, terminal equipment and a storage medium, wherein the method comprises the following steps: setting the same type of limb electrodes of all electrocardiographs to be communicated and then collecting the type of limb lead signals, and respectively collecting different chest lead signals by each chest electrode in all electrocardiographs; all electrocardiographs start to collect according to the positive sequence, and stop to collect according to the reverse sequence; carrying out normalization processing on electrocardiographic data; intercepting other electrocardiograph data with the same time period by taking limb lead data of the last electrocardiograph as a reference; and combining to obtain the required electrocardiographic data based on the electrocardiographic data obtained by the last electrocardiograph and the results obtained by intercepting other electrocardiographic data. The invention realizes the synchronous acquisition of multi-lead electrocardiographic data.
Description
Technical Field
The present invention relates to the field of data processing, and in particular, to a multi-lead electrocardiogram synchronous acquisition method, a terminal device, and a storage medium.
Background
Most of the existing electrocardiographs in medical institutions are 12-lead electrocardiographs due to the late market of 18-lead electrocardiographs and clinical use field Jing Shouxian. However, when a 15-lead (additional right chest, back wall acquisition), 18-lead (chest pain patient with additional right chest, back wall acquisition) and an electrocardiographic vector electrocardiogram (combination item, additional orthogonal lead acquisition) are required, only unsynchronized multiple acquisitions can be performed on the patient. Because of different acquisition times, lead sequence heart beats cannot be corresponding, and an electrocardiogram diagnosis doctor cannot view all lead data at the same time when reporting, so that analysis efficiency is affected. In addition, multi-page output is also required when outputting and printing reports, which ultimately affects the efficiency of the clinician's review of electrocardiographic diagnostic reports and often leads to misunderstanding that the diagnostic conclusions do not correspond to the current presentation. At the same time, even with the current 18-lead electrocardiograph on the market (there is temporarily no electrocardiograph above 22 leads), electrocardiographic scientific analysis of 22 leads or even more leads cannot be performed, which hinders further development of the electrocardiographic industry.
Disclosure of Invention
In order to solve the problems, the invention provides a multi-lead electrocardiogram synchronous acquisition method, terminal equipment and a storage medium.
The specific scheme is as follows:
a multi-lead electrocardiogram synchronous acquisition method comprises the following steps:
s1: calculating the number N of electrocardiographs required according to the number of chest leads required;
s2: setting the same type of limb electrodes of all electrocardiographs to be communicated and then collecting the type of limb lead signals, and respectively collecting different chest lead signals by each chest electrode in all electrocardiographs;
s3: after all electrocardiographs are sequenced, sequentially controlling each electrocardiograph to start to acquire according to a positive sequence, and sequentially controlling each electrocardiograph to stop acquiring according to a reverse sequence when the data acquired by the last electrocardiograph exceeds a set shortest time length to acquire N electrocardiograph data;
s4: for all the electrocardiographic data, carrying out normalization processing on other electrocardiographic data by taking electrocardiographic data corresponding to the maximum sampling rate as a reference;
s5: searching a limb lead data segment with highest similarity from limb lead data corresponding to other electrocardiograph data by using any limb lead data in electrocardiograph data obtained by the last electrocardiograph as a reference and using a similarity algorithm; based on the time period corresponding to the searched limb lead data period, intercepting data with the same time period as the searched time period from the original electrocardiogram data;
s6: and combining to obtain the required electrocardiographic data based on the electrocardiographic data obtained by the last electrocardiograph and the results obtained by intercepting other electrocardiographic data.
Further, in step S1, the number of leads contained in the required electrocardiograph data minus the number of limb leads is taken as the required chest lead number, and N is set based on the sum of the number of chest electrodes contained in N-1 electrocardiographs < the number of chest electrodes contained in N electrocardiographs.
Further, the shortest time period is 10 seconds.
Further, the process starts in step S3 after the waveforms of all electrocardiographs are stabilized.
Further, interpolation is adopted when normalization processing is performed on other electrocardiographic data.
Further, the method for searching the limb lead data segment with the highest similarity from the limb lead data corresponding to other electrocardiographic data comprises the following steps: converting limb lead data to be searched into character strings L1-II in a one-dimensional array form, converting limb lead data in electrocardiograph data obtained by the last electrocardiograph into character strings L3-II in a one-dimensional array form, traversing all substrings with the lengths of L3-II in the L1-II through a sliding window, and calculating the similarity between each substring and the L3-II; and extracting the limb lead data segment corresponding to the substring with the highest similarity.
Further, the similarity calculation formula is calculated based on the edit distance dist between two character strings obtained by the dynamic programming algorithm, and the calculation formula is as follows:
similarity = 1 - dist / (d L1-Ⅱ +d L3-Ⅱ )
wherein similarity represents similarity, d L1-Ⅱ Representing the length, d, of the character string L1-II L3-Ⅱ Representing the length of the string L3-ii.
The multi-lead electrocardiogram synchronous acquisition terminal equipment comprises a processor, a memory and a computer program which is stored in the memory and can run on the processor, wherein the steps of the method according to the embodiment of the invention are realized when the processor executes the computer program.
A computer readable storage medium storing a computer program which, when executed by a processor, implements the steps of the method described above for embodiments of the present invention.
The invention adopts the technical proposal to realize the synchronous acquisition of 15, 18, 22 or even more lead electrocardiogram data.
Drawings
Fig. 1 is a flowchart of a first embodiment of the present invention.
Fig. 2 is a diagram showing 3 parts of electrocardiographic data acquired in this example.
Fig. 3 is a schematic diagram showing normalization processing in this embodiment.
Detailed Description
For further illustration of the various embodiments, the invention is provided with the accompanying drawings. The accompanying drawings, which are incorporated in and constitute a part of this disclosure, illustrate embodiments and together with the description, serve to explain the principles of the embodiments. With reference to these matters, one of ordinary skill in the art will understand other possible embodiments and advantages of the present invention.
The invention will now be further described with reference to the drawings and detailed description.
Embodiment one:
the embodiment of the invention provides a multi-lead electrocardiograph synchronous acquisition method, an electrocardiograph takes a 12-lead electrocardiograph which is most common in the market as an example, and a required electrocardiograph is a 22-lead electrocardiograph, as shown in fig. 1, and the method comprises the following steps:
s1: the number of electrocardiographs required N is calculated from the number of chest leads required.
In the calculation of the number of electrocardiographs in this embodiment, calculation is performed according to the number of chest electrodes contained in each electrocardiograph, the required electrocardiograph data contains (e.g. 22) minus the limb lead number (e.g. 6) as the required chest lead number, and N is set based on the sum of the number of chest electrodes contained in N-1 electrocardiographs < the number of chest electrodes contained in the required chest lead number is less than or equal to N electrocardiographs, and N is more than or equal to 2.
If the 12-lead electrocardiograph comprises 4 limb electrodes (RA, LA, LL, N) (the 4 limb electrodes can obtain 6 limb lead data I, II, III and aVR, aVL, aVF) and 6 chest electrodes, the required chest lead number is 22-6=16, and then 3 12-lead electrocardiographs are required.
S2: the same type of limb electrode of all electrocardiographs is set to be communicated, then the type of limb lead signals are acquired, and each chest electrode in all electrocardiographs respectively acquires different chest lead signals.
In this embodiment, all electrodes of the same type of electrocardiograph are connected to the human body through an electrode clip after being connected. As in a 12-lead electrocardiograph, three RA electrodes are connected, three LA electrodes are connected, three LL electrodes are connected, and three N electrodes are connected.
In this embodiment, the chest leads connected to the chest electrodes of the 3 12-lead electrocardiographs are respectively XD1, XD2 and XD3, and are respectively:
6 chest electrodes of XD 1: v1, V2, V3, V4, V5, V6;
6 chest electrodes of XD 2: V3R, V4R, V5R, V6R, V7R, V8R;
6 chest electrodes of XD 3: v7, V8, V9R, more than 2 chest electrodes are not connected.
S3: after all electrocardiographs are sequenced, all electrocardiographs are sequentially controlled to start to acquire according to the positive sequence, and when the data acquired by the last electrocardiograph exceeds the set shortest time length, all electrocardiographs are sequentially controlled to stop acquiring according to the reverse sequence, so that N electrocardiograph data are obtained.
In this embodiment, it is preferable to set the procedure to start step S3 after the waveforms of all electrocardiographs are stabilized.
In this example, the result of the sorting was (XD 1, XD2, XD 3), the positive sequence was (XD 1, XD2, XD 3), and the reverse sequence was (XD 3, XD2, XD 1). Electrocardiographic data corresponding to XD1, XD2, and XD3 are L1, L2, and L3 in this order, as shown in fig. 2.
The shortest time can be set by a person skilled in the art according to the use requirements, and is set to 10 seconds in this embodiment.
S4: and carrying out normalization processing on other electrocardiographic data by taking electrocardiographic data corresponding to the maximum sampling rate as a reference for all electrocardiographic data.
In an actual application scene, the sampling rates of electrocardiographs with different brands and models are inconsistent, for example, the sampling rates of three electrocardiograph data are respectively 250Hz, 500Hz and 1000Hz, 16-bit integer data (2 bytes) with the same time length of 10s are obtained, and the lengths of the lead data arrays are respectively 5000 bytes, 10000 bytes and 20000 bytes. Since the sample rate corresponding to the central electrogram data L3 is the largest in this embodiment, other 2 data are normalized by interpolation based on L3, as shown in fig. 3.
S5: searching a limb lead data segment with highest similarity from limb lead data corresponding to other electrocardiograph data by using any limb lead data in electrocardiograph data obtained by the last electrocardiograph as a reference and using a similarity algorithm; based on the time period corresponding to the searched limb lead data period, data with the same time period as the searched time period is intercepted from the original electrocardiogram data.
Because of the sequence of the time points of starting acquisition and stopping acquisition, the electrocardiographic data (such as L1 and L2) in the front sequence necessarily contains data segments with the same time sequence as that of electrocardiographic data (L3) obtained by the last electrocardiograph. Meanwhile, because the limb lead data in all electrocardiographic data are all derived from the same connection point, namely all comprise data belonging to the same limb lead (such as II leads), the time alignment can be carried out by taking the data as a reference.
The reference limb lead data in this example is illustrated with reference to the L3 ii lead. The method for acquiring the limb lead data segment with the highest similarity with the II lead of L3 in the II leads of L1 comprises the following steps:
converting the II leads of L1 and the II leads of L3 into a one-dimensional array form (such as [100,104,101,102 … … ], wherein the elements in the array represent voltages) and then viewing the two character strings L1-II and L3-II, and calculating the edit distance dist between the two character strings through a dynamic programming algorithm; the similarity is calculated based on the edit distance dist by:
similarity = 1 - dist / (d L1-Ⅱ +d L3-Ⅱ )
wherein similarity represents similarity, d L1-Ⅱ Representing the length, d, of the character string L1-II L3-Ⅱ Representing the length of the string L3-ii.
Traversing all substrings with the length of L3-II in the L1-II through a sliding window, and calculating the similarity between each substring and the L3-II; and extracting the limb lead data segment corresponding to the string with the highest similarity. In this embodiment, the data obtained by cutting the electrocardiographic data L1 is L1', the data obtained by cutting the electrocardiographic data L2 is L2', the L1 'has the same number of leads (i, ii, iii, aVR, aVL, aVF, V1, V2, V3, V4, V5, V6) as the L1, and the L2' has the same number of leads (i, ii, iii, aVR, aVL, aVF, V3R, V4R, V5R, V6R, V7R, V8R) as the L2.
S6: and combining to obtain the required electrocardiographic data based on the electrocardiographic data obtained by the last electrocardiograph and the results obtained by intercepting other electrocardiographic data.
In this example, the limb leads and chest lead data (i, ii, iii, aVR, aVL, aVF, V1, V2, V3, V4, V5, V6) in L1 'were retained, all chest lead data (V3R, V4R, V5R, V6R, V7R, V R) in L2' were combined, and 4 chest lead data (V7, V8, V9R, 2 other chest electrodes were not connected) in L3 were combined to reconstruct a 22-lead electrocardiogram data in the lead order (i, ii, iii, aVR, aVL, aVF, V1, V2, V3, V4, V5, V6, V7, V8, V9, V3R, V4R, V5R, V6R, V R, V358R, V R).
The embodiment of the invention realizes synchronous acquisition of 15, 18 and 22 or more lead electrocardiograph data by using the 12-lead electrocardiograph which is most common in the market at present.
Embodiment two:
the invention also provides a multi-lead electrocardiogram synchronous acquisition terminal device, which comprises a memory, a processor and a computer program stored in the memory and capable of running on the processor, wherein the steps in the method embodiment of the first embodiment of the invention are realized when the processor executes the computer program.
Further, as an executable scheme, the multi-lead electrocardiogram synchronous acquisition terminal device may be a computing device such as a desktop computer, a notebook computer, a palm computer, a cloud server, and the like. The multi-lead electrocardiogram synchronous acquisition terminal device can include, but is not limited to, a processor and a memory. It will be appreciated by those skilled in the art that the above-described composition structure of the multi-lead electrocardiogram synchronous acquisition terminal device is merely an example of the multi-lead electrocardiogram synchronous acquisition terminal device, and does not constitute limitation of the multi-lead electrocardiogram synchronous acquisition terminal device, and may include more or less components than the above-described components, or may combine some components, or different components, for example, the multi-lead electrocardiogram synchronous acquisition terminal device may further include an input/output device, a network access device, a bus, and the like, which is not limited by the embodiment of the present invention.
Further, as an executable scheme, the processor may be a central processing unit (Central Processing Unit, CPU), other general purpose processor, digital signal processor (Digital Signal Processor, DSP), application specific integrated circuit (Application Specific Integrated Circuit, ASIC), field programmable gate array (Field-Programmable Gate Array, FPGA) or other programmable logic device, etc. The general processor may be a microprocessor or the processor may be any conventional processor, etc., and the processor is a control center of the multi-lead electrocardiogram synchronous acquisition terminal device, and connects various parts of the whole multi-lead electrocardiogram synchronous acquisition terminal device by using various interfaces and lines.
The memory may be used to store the computer program and/or module, and the processor may implement various functions of the multi-lead electrocardiogram synchronous acquisition terminal device by running or executing the computer program and/or module stored in the memory and invoking data stored in the memory. The memory may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, at least one application program required for a function; the storage data area may store data created according to the use of the cellular phone, etc. In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as a hard disk, memory, plug-in hard disk, smart Media Card (SMC), secure Digital (SD) Card, flash Card (Flash Card), at least one disk storage device, flash memory device, or other volatile solid-state storage device.
The present invention also provides a computer readable storage medium storing a computer program which when executed by a processor implements the steps of the above-described method of an embodiment of the present invention.
The modules/units integrated in the multi-lead electrocardiographic synchronous acquisition terminal device can be stored in a computer readable storage medium if implemented in the form of software functional units and sold or used as independent products. Based on such understanding, the present invention may implement all or part of the flow of the method of the above embodiment, or may be implemented by a computer program to instruct related hardware, where the computer program may be stored in a computer readable storage medium, and when the computer program is executed by a processor, the computer program may implement the steps of each of the method embodiments described above. Wherein the computer program comprises computer program code which may be in source code form, object code form, executable file or some intermediate form etc. The computer readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a software distribution medium, and so forth.
While the invention has been particularly shown and described with reference to a preferred embodiment, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (9)
1. The multi-lead electrocardiogram synchronous acquisition method is characterized by comprising the following steps of:
s1: calculating the number N of electrocardiographs required according to the number of chest leads required;
s2: setting the same type of limb electrodes of all electrocardiographs to be communicated and then collecting the type of limb lead signals, and respectively collecting different chest lead signals by each chest electrode in all electrocardiographs;
s3: after all electrocardiographs are sequenced, sequentially controlling each electrocardiograph to start to acquire according to a positive sequence, and sequentially controlling each electrocardiograph to stop acquiring according to a reverse sequence when the data acquired by the last electrocardiograph exceeds a set shortest time length to acquire N electrocardiograph data;
s4: for all the electrocardiographic data, carrying out normalization processing on other electrocardiographic data by taking electrocardiographic data corresponding to the maximum sampling rate as a reference;
s5: searching a limb lead data segment with highest similarity from limb lead data corresponding to other electrocardiograph data by using any limb lead data in electrocardiograph data obtained by the last electrocardiograph as a reference and using a similarity algorithm; based on the time period corresponding to the searched limb lead data period, intercepting data with the same time period as the searched time period from the original electrocardiogram data;
s6: and combining to obtain the required electrocardiographic data based on the electrocardiographic data obtained by the last electrocardiograph and the results obtained by intercepting other electrocardiographic data.
2. The multi-lead electrocardiogram synchronous acquisition method according to claim 1, wherein: in the step S1, the number of leads contained in the required electrocardiograph data minus the number of limb leads is taken as the required chest lead number, and N is set based on the sum of the number of chest electrodes contained in N-1 electrocardiographs < the number of chest electrodes contained in the required chest lead number less than or equal to N electrocardiographs.
3. The multi-lead electrocardiogram synchronous acquisition method according to claim 1, wherein: the minimum duration is 10 seconds.
4. The multi-lead electrocardiogram synchronous acquisition method according to claim 1, wherein: the step S3 is started after the waveforms of all electrocardiographs are stabilized.
5. The multi-lead electrocardiogram synchronous acquisition method according to claim 1, wherein: interpolation is adopted when normalization processing is carried out on other electrocardiographic data.
6. The multi-lead electrocardiogram synchronous acquisition method according to claim 1, wherein: the method for searching the limb lead data segment with the highest similarity from the limb lead data corresponding to other electrocardiographic data comprises the following steps: converting limb lead data to be searched into character strings L1-II in a one-dimensional array form, converting limb lead data in electrocardiograph data obtained by the last electrocardiograph into character strings L3-II in a one-dimensional array form, traversing all substrings with the lengths of L3-II in the L1-II through a sliding window, and calculating the similarity between each substring and the L3-II; and extracting the limb lead data segment corresponding to the substring with the highest similarity.
7. The multi-lead electrocardiogram synchronous acquisition method according to claim 6, wherein: the similarity calculation formula is calculated based on the edit distance dist between two character strings obtained by a dynamic programming algorithm, and is as follows:
similarity = 1 - dist / (d L1-Ⅱ +d L3-Ⅱ )
wherein similarity represents similarity, d L1-Ⅱ Representing the length, d, of the character string L1-II L3-Ⅱ Representing the length of the string L3-ii.
8. A multi-lead electrocardiogram synchronous acquisition terminal device is characterized in that: comprising a processor, a memory and a computer program stored in the memory and running on the processor, the processor implementing the steps of the method according to any one of claims 1 to 7 when the computer program is executed.
9. A computer-readable storage medium storing a computer program, characterized in that: the computer program implementing the steps of the method according to any of claims 1 to 7 when executed by a processor.
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